| Ensemble learning models that predict surface protein abundance from single-cell multimodal omics data F Xu, S Wang, X Dai, PA Mundra, J Zheng Methods 189, 65-73, 2021 | 17 | 2021 |
| Cell‐to‐cell and type‐to‐type heterogeneity of signaling networks: insights from the crowd A Gabor, M Tognetti, A Driessen, J Tanevski, B Guo, W Cao, H Shen, T Yu, ... Molecular systems biology 17 (10), e10402, 2021 | 14 | 2021 |
| PIKE-R2P: Protein–protein interaction network-based knowledge embedding with graph neural network for single-cell RNA to protein prediction X Dai, F Xu, S Wang, PA Mundra, J Zheng BMC bioinformatics 22 (Suppl 6), 139, 2021 | 11 | 2021 |
| Explaining temporal graph models through an explorer-navigator framework W Xia, M Lai, C Shan, Y Zhang, X Dai, X Li, D Li The Eleventh International Conference on Learning Representations, 2022 | 5 | 2022 |
| Opera-oriented character relations extraction for role interaction and behaviour Understanding: a deep learning approach X Dai, X Zhao, P Jin, X Cai, H Zhang, C Yang, B Li Behaviour & Information Technology 38 (9), 900-912, 2019 | 3 | 2019 |
| A General Single-Cell Analysis Framework via Conditional Diffusion Generative Models W Tang, R Liu, H Wen, X Dai, J Ding, H Li, W Fan, Y Xie, J Tang bioRxiv, 2023.10. 13.562243, 2023 | 2 | 2023 |
| Topic judgment helps question similarity prediction in medical faq dialogue systems L Zhu, X Dai, Q Huang, H Xiang, J Zheng 2019 International Conference on Data Mining Workshops (ICDMW), 966-972, 2019 | 2 | 2019 |
| CellPLM: Pre-training of Cell Language Model Beyond Single Cells H Wen, W Tang, X Dai, J Ding, W Jin, Y Xie, J Tang bioRxiv, 2023.10. 03.560734, 2023 | 1 | 2023 |
| Biological Factor Regulatory Neural Network X Dai, C Shan, J Zheng, X Li, D Li arXiv preprint arXiv:2304.04982, 2023 | | 2023 |
